Commercial standalone Global Positioning System (GPS) receivers suffer from multiple errors including multipath
bias and ionospheric signal disturbance, especially in urban environment where GPS signal can be easily
affected and altered. There are multiple techniques to solve this issue, yet every method has limitations and
certain problems. Furthermore, the positioning accuracy of the commercial low-cost GPS is very poor in urban
conditions, in most cases due to multi-path bias. In this paper, a novel method was proposed which introduced
certain parameters and weighted coefficients to the existing GPS positioning algorithm in order to compensate
the impact of multi-path and poor signal receptions. The measurement accuracy of the commercial GPS receiver
with existing algorithms and that of the new algorithm proposed have been studied simultaneously to determine
the improvement. Tests performed in Boston metropolitan area, using low-cost off-the-shelf equipment, show
that the new method yields over 50% accuracy improvements (RMS) and fewer fluctuations than conventional
algorithms implemented. These studies demonstrated that better accuracy could be achieved by considering the
relationship between multi-path bias and signal strength. The detailed analysis of applying different parameters
in various conditions with experiment results is presented in the paper.
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